A Structured Answer to an Unstructured Problem
Ask ten finance leaders how they decide what work to hand over to artificial intelligence, and most will describe something closer to instinct than method. A vendor makes a compelling pitch, a competitor announces a new AI tool, and a decision gets made under pressure rather than through any consistent process. Ademola Odewade, the chartered accountant and founder of K-Dems Consulting, built his first book around fixing exactly that gap.
Human-Led, AI-Powered Finance: The CFO and Founder’s Playbook for Smarter Decisions, Stronger Controls and Scalable Growth centers on a framework Odewade calls ACCOUNT, designed to give finance leaders a repeatable way to decide what belongs to a machine, what has to stay in human hands, and, just as importantly, where to place the controls that catch a mistake before it reaches a board or a regulator.
Why a Framework, Not a Rule
Odewade is careful to distinguish ACCOUNT from a simple checklist or a blanket policy. Blanket rules, in his experience, tend to fail in both directions. A rule that says “automate everything possible” ignores the fact that some processes carry consequences too serious to hand to a system without a human check. A rule that says “keep everything human” wastes the genuine efficiency gains AI can offer and leaves an organization’s cost base exactly where it was while competitors move ahead. ACCOUNT is built instead as a structured way of asking the right questions about a specific process, so the same rigor gets applied whether the decision concerns a routine reconciliation or a board-level forecasting model.
That structure matters most, Odewade argues, at exactly the kind of organizations he built his consulting practice to serve. Small and mid-sized businesses and founder-led companies often need enterprise-grade financial discipline but operate without an internal audit function or a dedicated transformation budget, frequently with a finance team of one or two people covering every responsibility at once. For those teams, an ad hoc approach to AI adoption is not just inefficient. It is genuinely risky, because there is no second layer of oversight to catch a bad call before it compounds.
Where the Framework Comes From
ACCOUNT did not emerge from theory. Odewade spent eight years in professional practice, first at PwC and later at KPMG, absorbing the kind of formal controls and audit discipline that large firms build as a matter of course. When he founded K-Dems Consulting in London in 2025, his goal was to translate that enterprise-grade rigor into something usable by businesses with a fraction of the resources. ACCOUNT is the product of that translation exercise, tested against real client engagements rather than built in the abstract.
He also draws directly on his ongoing work as a contracted expert evaluator for a frontier AI evaluation marketplace, a role he has held continuously since July 2026. Grading the output of advanced AI systems on finance and business reasoning, and writing the rationales explaining why a wrong answer is wrong, has given Odewade a granular view of exactly where these systems tend to fail. That view feeds directly into how he advises clients on where the ACCOUNT framework’s controls need to sit.
The Cost of Getting It Wrong
Odewade is direct about why he considers this level of structure necessary rather than excessive. In most industries, an AI mistake is an inconvenience. In finance, he points out, it rarely stays that small. A control failure can mean a restatement. A compliance breach can mean a failed audit. A bad number reaching a board at the wrong moment can mean a funding round falling apart under diligence. The stakes attached to finance decisions are exactly why he believes AI adoption in the function needs a framework rather than enthusiasm.
At the same time, Odewade pushes back against the instinct to avoid AI altogether out of caution. He describes many finance leaders as currently stuck between paralysis and recklessness, either waiting out of fear of getting it wrong while competitors pull ahead, or removing human oversight too quickly and only discovering the consequences months later. ACCOUNT is positioned as the middle path: a way to move forward deliberately, with the controls built in from the start rather than added after something has already gone wrong.
Extending the Framework to Individuals
Odewade’s second book, The AI-Powered Future of Work, publishing in October 2026, takes the same underlying logic and applies it to individual professionals rather than organizations. Its companion framework, EXPERT, is built around six components across three stages, helping professionals diagnose their own expertise and exposure to AI, qualify that expertise through proof and eligibility, and sustain their value through rate and trust. Where ACCOUNT helps a CFO decide what to automate, EXPERT is designed to help an individual accountant, analyst, or consultant decide how to position themselves as the same automation reshapes their field.
A Framework Built to Be Used
Odewade has said his long-term goal for ACCOUNT extends well beyond his own client base. He wants it to become one of the reference frameworks a finance function reaches for when it needs to justify an AI decision to a board, an auditor, or a regulator, eventually supporting formal training programs for CFOs and finance teams. For now, the framework remains grounded in the same practical question he built it to answer: not whether to use AI in finance, but how to do it in a way that holds up under scrutiny.
He also hosts two podcasts, The King Dems Podcast and Diary of a CFO, both ranked in the global top 2 percent on ListenNotes, where the ACCOUNT framework and related governance questions come up frequently with senior guests. Across more than 200 combined episodes, the two shows have reached listeners in over 130 countries.
Follow Ademola Odewade on LinkedIn and Instagram for more on his work at the intersection of AI and finance leadership.